https://github.com/madnancp/machine-learning-notes

ML notes. Feel free to explore
https://github.com/madnancp/machine-learning-notes

fundamentals machine-learning-models model-evaluation-and-selection model-implementation

Last synced: about 1 month ago
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ML notes. Feel free to explore

• Host: GitHub
• URL: https://github.com/madnancp/machine-learning-notes
• Owner: adnaaaen
• License: mit
• Created: 2024-11-10T10:37:35.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-30T06:47:13.000Z (about 1 year ago)
• Last Synced: 2024-12-30T07:35:25.217Z (about 1 year ago)
• Topics: fundamentals, machine-learning-models, model-evaluation-and-selection, model-implementation
• Language: Jupyter Notebook
• Homepage:
• Size: 623 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
This is a living document where I record my learning journey in machine learning. Contributors are welcome to enhance and expand these notes.

**I've almost complete my journey**. `NOW ITS TIME TO LEARN TOOLS AND BUILD SOMETHING.`

> [!NOTE]

> Pre-requisites:

> Before diving into machine learning, make sure you are familiar with essential data skills like:  

>

> - Python

> - Data Analysis

> - Exploratory Data Analysis (EDA)

> - Data Preprocessing

## Learning Path 🚀

1. [**Grasp the Fundamentals**](./fundamentals/)

2. [**Models**](./models/)

3. [**Model Selection**](./model-selection/)

4. [**Model Optimization**](./optimzation/)

5. [**Evaluation Metrics**](./evaluation-metrics/)